TY - JOUR
T1 - Optimizing Thermo-Hydraulic Performance in Heat Exchanger with Gradient and Multi-Layered Porous Foams
AU - Abbas Naqvi, Syed Murawat
AU - Wang, Qiuwang
AU - Waqas, Muhammad
AU - Gupta, Ranjeetkumar
AU - Rafique, Faisal
N1 - Funding Information:
This work is financially supported by the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (No.51721004) and the 111 Project (B16038).
Publisher Copyright:
© 2022 Taylor & Francis Group, LLC.
PY - 2023/4/28
Y1 - 2023/4/28
N2 - In this study, the effect of gradient and multi-layered porous media is assessed for the optimized properties and arrangement in the tested novel baffle design arrangement, which results in further enhancement in its thermo-hydraulic performance. The computational study is carried out using ANSYS FLUENT; wherein the permeability and porosity for each layer is varied. It’s executed in two steps: case 1–porous layers with variations implemented (constant, linear/stepwise, increasing/decreasing) and case 2–porosity varied over the length. The findings show that the linear/stepwise increments in both cases give almost similar performance evaluation criteria (PEC) values. The increase in heat transfer rate and pressure drop can be compared using PEC, for better evaluation of the performance of different arrangements. With the simulation data genetic algorithm optimization model is used to find the optimal arrangement of the porous layers for both cases to maximize PEC further. The optimal arrangement for case 1 and case 2 taken individually, gives PEC of 2.425 and 2.401 respectively. And their simultaneous optimization gives highest PEC of 2.508. Additionally, to improve the heat transfer rate further, Al2O3 (5 w/v %) nanoparticles in water is tested with optimized conditions, which improves the PEC by almost double magnitude.
AB - In this study, the effect of gradient and multi-layered porous media is assessed for the optimized properties and arrangement in the tested novel baffle design arrangement, which results in further enhancement in its thermo-hydraulic performance. The computational study is carried out using ANSYS FLUENT; wherein the permeability and porosity for each layer is varied. It’s executed in two steps: case 1–porous layers with variations implemented (constant, linear/stepwise, increasing/decreasing) and case 2–porosity varied over the length. The findings show that the linear/stepwise increments in both cases give almost similar performance evaluation criteria (PEC) values. The increase in heat transfer rate and pressure drop can be compared using PEC, for better evaluation of the performance of different arrangements. With the simulation data genetic algorithm optimization model is used to find the optimal arrangement of the porous layers for both cases to maximize PEC further. The optimal arrangement for case 1 and case 2 taken individually, gives PEC of 2.425 and 2.401 respectively. And their simultaneous optimization gives highest PEC of 2.508. Additionally, to improve the heat transfer rate further, Al2O3 (5 w/v %) nanoparticles in water is tested with optimized conditions, which improves the PEC by almost double magnitude.
UR - http://www.scopus.com/inward/record.url?scp=85131675152&partnerID=8YFLogxK
U2 - 10.1080/01457632.2022.2086097
DO - 10.1080/01457632.2022.2086097
M3 - Article
AN - SCOPUS:85131675152
SN - 0145-7632
VL - 44
SP - 751
EP - 765
JO - Heat Transfer Engineering
JF - Heat Transfer Engineering
IS - 8
ER -